Results 141 to 150 of about 59,972 (229)

Anxiety in mothers of children with COVID-19 based on the State-Trait Anxiety Inventory. [PDF]

Rev Bras Enferm
Fontenele NL, Santos DAS, Castro IAL, Paiva FM, Fontoura FC, Oliveira NR, Oliveira RKL, Cardoso MVLML.   +7 more
europepmc   +1 more source

[Dias das mães no restaurante da FJP]

, 2018
Dia das mães, no restaurante da Fundação João Pinheiro (campus Pampulha). Vê-se, da esquerda para a direita, Ângela Maria Reis (1º); Funcionária do restaurante (2º)
Autoria desconhecida
core  

Bridging Chemical Literature and Molecular Graphs: LLM‐Augmented Enantioselectivity Prediction for Iridium‐Catalyzed Asymmetric C–H Borylation

Advanced Science, EarlyView.
A machine‐learning framework for asymmetric C–H borylation bridges multi‐entity 3D molecular graphs and chemical literature. Atom‐resolved mechanistic annotations extracted by large language models augment three‐component graph encoding of catalyst, substrate, and product. The model predicts enantioselectivity with high accuracy on unseen scaffolds and
Zhe Wang, Baohua Zhang, Yi Isaac Yang, Yuan Yao, Yinwu Li   +4 more
wiley   +1 more source

Benchmarking DFT for Chain-Length and Water Effects in Thermal Conia-Ene Cyclization. [PDF]

ACS Omega
Gutiérrez-Flores J, H Huerta E, Serrano Medina J, Garza J, Hernández-Rodriguez M, Vargas R.   +5 more
europepmc   +1 more source

LLM‐Assisted Design of Ultralow‐κ$\kappa$ Chalcogenides

Advanced Science, EarlyView.
An AI assisted, physics guided workflow accelerates the discovery of ultralow thermal conductivity materials by combining Bayesian optimization, evidence conditioned LLM reasoning, and automated physics‐based validation. The framework uncovers dynamically stable Ag based chalcogenides with ultralow thermal conductivity and promising thermoelectric ...
Yujie Liu, Congran Jia, Yuzhou Hao, Xuejie Li, Yang Wang, Artem Oganov, Jun Sun, Xiangdong Ding, Turab Lookman, Zhibin Gao   +9 more
wiley   +1 more source

Influence of Near-Field Effect on Magnetic Hysteresis in Magneto-Active Elastomers. [PDF]

Polymers (Basel)
Patel P, Romeis D, Saphiannikova M.
europepmc   +1 more source

O significado da morte perinatal: depoimentos de mães

, 1990
Os autores se propõem a desvelar facetas do significado da morte perinatal aos olhos das mães. Para tanto, recorrem a uma metodologia qualitativa que lhes possibilita uma análise compreensiva de depoimentos de mães hospitalizadas que estão vivenciando ...
Adriana Barbieri, Regina Celia Popim
core  

CausalCellInfer: Prioritizing Cell‐Type‐Specific Disease Associations From Genetically Predicted Transcriptomes in Biobank Cohorts

Advanced Science, EarlyView.
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin, Yujia Shi, Ruoyu Zhang, Yong Xiang, Jinghong Qiu, Pak‐Chung Sham, Hon‐Cheong So   +6 more
wiley   +1 more source

Editorial Comment on "Stage-Dependent Changes in Kynurenine Pathway Enzyme Expression Suggest Immune-Related Involvement in Bladder Cancer Progression": Rethinking the Tryptophan-Kynurenine Pathway in Urological Cancer Immunotherapy. [PDF]

Int J Urol
Almulla AF, Zhang Y, Maes M.
europepmc   +1 more source

AI‐EXAFS: Physics‐Informed Prediction of EXAFS from Atomic Structure

Advanced Science, EarlyView.
AI‐EXAFS presents a neural network to reproduce EXAFS. Trained on synthetic data and with a careful selection of the settings both for the physical representation of the system and following the experimental heuristic loss functions, the model is capable of reproducing EXAFS spectra for molecules from the tridimensional structure.
Javier Heras‐Domingo, Andrea Ruiz‐Ferrando, Adam H. Clark, Stephan Pollitt, Sharon Mitchell, Javier Pérez‐Ramírez, Núria López   +6 more
wiley   +1 more source